Seeking a Sr. Staff Engineer to design and architect enterprise-wide Generative AI solutions, build AI gateways, and lead a team of AI/ML engineers.
Compensation
Base Pay Range 225,000.00
Responsibilities
Design and architect enterprise-wide Generative AI solutions, including reference architectures, integration patterns, and technical standards.
Design, build, and maintain an enterprise AI gateway to centralize access, governance, and monitoring of AI model consumption across the organization.
Develop and implement intelligent routing techniques to direct requests across multiple large language models (LLMs) and AI providers based on cost, latency, accuracy, and availability requirements.
Evaluate and integrate local/on-premises models as alternatives to third-party hosted models, with a focus on reducing operational costs.
Establish frameworks for measuring and demonstrating cost savings achieved through model selection, routing optimization, and infrastructure decisions.
Lead research competitive intelligence for Zealand Pharma’s metabolic health portfolio, shaping strategy through data‑driven insights and quantitative analysis.
Responsibilities
Track and synthesize competitive intelligence across metabolic health and adjacencies
Rapidly internalize breaking external data and independently develop analyses, narratives, and implications
Apply quantitative methods to capture, analyze, and visualize complex datasets
Develop high‑impact communications (briefings, presentations, written summaries)
Partner across‑functionally with Research, Medical, Development, IR, and Commercial teams
Requirements
PhD (or equivalent advanced degree) in a relevant life sciences or quantitative discipline
Lead the development, training, and evaluation of deep learning models for undersea acoustic detection, classification, localization, and related problems using Fourier analysis or signal processing.
Locations (2)
Richland, Washington, United States
Seattle, Washington, United States
Compensation
USD $140,200.00/Yr.
Maximum Salary
USD $228,800.00/Yr.
Responsibilities
Lead the development, training, and evaluation of deep learning methods for undersea acoustic detection, classification, localization, and related problems using Fourier analysis or signal processing, mathematical analysis, and experiments.
Lead research projects or major technical efforts, coordinate contributors, and plan the work, resources, and milestones.
Evaluate methods against baselines using representative data, examining detection and classification performance, false alarms, robustness to propagation and environmental variability, uncertainty, and computational demands.
Data Scientist II - Machine Learning for Undersea Acoustics
Pacific Northwest National Laboratory · Posted Nov 7, 2026
Investigate and develop deep learning methods for undersea acoustics, analyzing acoustic data, formulating and testing algorithms, and developing, training, and evaluating deep learning models for detecting, classifying, localizing, or characterizing underwater sources and phenomena.
Locations (2)
Richland, Washington, United States
Seattle, Washington, United States
Compensation
Minimum Salary USD $114,000.00/Yr. Maximum Salary USD $182,100.00/Yr.
Responsibilities
Develop, train, and evaluate deep learning methods for undersea acoustic detection, classification, localization, separation, and related problems.
Formulate and investigate research questions through Fourier analysis, signal processing, mathematical analysis, algorithm development, and experiments.
Design reproducible experiments and compare methods, examining detection and classification performance, false alarms, robustness to propagation and environmental variability, uncertainty, and computational demands.
Analyze and interpret results, document methods and limitations, and communicate findings to project leads, collaborators, and mission partners.
Build and validate research prototypes and evaluate agentic AI systems with software and ML engineers, addressing technical barriers to transition and deployment.
Work with mission partners and domain specialists to turn user needs into research questions, and communicate findings through analyses, technical reports, and discussions.
Requirements
BS/BA
MS/MA
PhD
Nice to have: deep learning methods for undersea acoustic detection
Account ExecutiveNewSayari · Tampa, US
Senior Data Scientist III - Machine Learning for Undersea AcousticsPacific Northwest National Laboratory · Richland, US+1 more